SKILLEMALL.ai

BD xdcc-price-query

寄件一条龙技能——登录 xdccy.com 后按发件/收件的省市区与重量,一次性列出多家快递公司的预估运费并比价;确认后可直接在线下单取件。支持把一整段「姓名+电话+地址」文本智能识别成省市区、详细地址与联系电话(对应官网 AddrRecognition 页)。还能查看「我的寄件」列表、查订单详情、取消未取件的寄件,以及提交与查看工单(含拦截转寄/退回),对应官网 DeliveryManage.aspx 与根目录 AddWorkPage/WorkOrderManage 页。支持单条与批量(CSV 输入输出),报价按价格升序展示并导出 JSON/CSV。地址支持口语化输入("广东 深圳 南山"、"深圳南山"、"北京朝阳"),快递渠道支持中文名("顺丰")、通用缩写(SF)与接口编码(shunfeng)三种写法;省市区数据随包分发、运行时零网络依赖。下单默认仅预览,必须显式确认才提交;取消寄件与提交工单同样默认预演。

ClawHub Agent Skills author: xdccycom v1.0.1 MIT-0 40 files · 11 scripts body ≈ 3 119 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

寄件一条龙技能——登录 xdccy.com 后按发件/收件的省市区与重量,一次性列出多家快递公司的预估运费并比价;确认后可直接在线下单取件。支持把一整段「姓名+电话+地址」文本智能识别成省市区、详细地址与联系电话(对应官网 AddrRecognition…

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureLogistics and warehouseData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 19. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "display_name"
  • note frontmatter-key unknown frontmatter key "display_name_en"
  • note frontmatter-key unknown frontmatter key "description_zh"
  • note frontmatter-key unknown frontmatter key "description_en"
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 41/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 7 mutating operations with no state check
  • 40Consistency. Frontmatter name (xdcc-price-query) differs from the folder (online-shipping)
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 100Steps. 62 steps
  • 100Execution cost. Instruction body is 3119 tokens
  • 100Progress reporting. Reports progress

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 412: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 62 items
  • +4Has examples (18 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 11 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: suspicious
The skill’s shipping workflow is mostly coherent and disclosed, but it handles live account tokens and billable shipment actions, and the published artifact includes unexpected hidden development-memory files.
LLM: suspicious (medium) · VirusTotal: · 5 Oct 2026